Advancements in artificial intelligence for prostate cancer: Optimizing diagnosis, treatment, and prognostic assessment
AI holds significant promise for transforming PCa management by improving diagnostic accuracy, personalizing treatment plans, and enhancing patient outcomes. While the evidence underscores its potential, challenges such as the need for larger, more diverse datasets and addressing implementation barriers remain critical. Despite these hurdles, the benefits of AI in PCa management represent a compelling area for future research and clinical integration.
Authors
- Daisuke Hirahara (ORCID: https://orcid.org/0000-0003-0243-5086)
- Ramesh Paudyal (ORCID: https://orcid.org/0000-0003-0302-211X)
- Alfonso Lema-Dopico
- Thomas C. Kwee (ORCID: https://orcid.org/0000-0001-9005-8529)
- Yuki Arita (ORCID: https://orcid.org/0000-0002-5285-0352)
- Stefan J. Fransen (ORCID: https://orcid.org/0000-0002-5454-5052)
- Amita Shukla‐Dave (ORCID: https://orcid.org/0000-0001-7456-3197)
- Noam Nissan (ORCID: https://orcid.org/0000-0001-5416-4199)
- Lawrence H. Schwartz
- Lisa Ruby (ORCID: https://orcid.org/0000-0002-9858-5312)
- Oğuz Akın (ORCID: https://orcid.org/0000-0002-2041-6199)
- Ryo Ueda (ORCID: https://orcid.org/0000-0001-8302-155X)
- Eichi Takaya (ORCID: https://orcid.org/0000-0003-2541-1685)
- Christian Roest
Institutions
- University Medical Center Groningen (NL)
- Memorial Sloan Kettering Cancer Center (US)
- St. Marianna University School of Medicine (JP)
- Keio University Hospital (JP)
Publication Details
- Journal
- Asian journal of urology
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1016/j.ajur.2024.12.001
- Citations
- 16
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 24.29
Funders
- National Institutes of Health
- National Cancer Institute